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Electrophysiology as a Tool to Decipher the Network Mechanism of Visceral Pain in Functional Gastrointestinal Disorders

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DIAGNOSTICS
卷 13, 期 4, 页码 -

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MDPI
DOI: 10.3390/diagnostics13040627

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visceral pain; functional gastrointestinal disorders; extracellular recordings; neural oscillations; local field potentials

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Abdominal pain is common in FGIDs and affects patients' quality of life. Neural circuits in the brain encode, store, and transfer pain information. Neuroimaging techniques have limitations in studying pain mechanisms due to poor temporal resolution. This review highlights important brain regions involved in pain modulation and proposes extracellular electrophysiology as a suitable method for capturing pain dynamics with high spatiotemporal resolution.
Abdominal pain, including visceral pain, is prevalent in functional gastrointestinal (GI) disorders (FGIDs), affecting the overall quality of a patient's life. Neural circuits in the brain encode, store, and transfer pain information across brain regions. Ascending pain signals actively shape brain dynamics; in turn, the descending system responds to the pain through neuronal inhibition. Pain processing mechanisms in patients are currently mainly studied with neuroimaging techniques; however, these techniques have a relatively poor temporal resolution. A high temporal resolution method is warranted to decode the dynamics of the pain processing mechanisms. Here, we reviewed crucial brain regions that exhibited pain-modulatory effects in an ascending and descending manner. Moreover, we discussed a uniquely well-suited method, namely extracellular electrophysiology, that captures natural language from the brain with high spatiotemporal resolution. This approach allows parallel recording of large populations of neurons in interconnected brain areas and permits the monitoring of neuronal firing patterns and comparative characterization of the brain oscillations. In addition, we discussed the contribution of these oscillations to pain states. In summary, using innovative, state-of-the-art methods, the large-scale recordings of multiple neurons will guide us to better understanding of pain mechanisms in FGIDs.

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